skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 11:00 PM ET on Thursday, June 12 until 2:00 AM ET on Friday, June 13 due to maintenance. We apologize for the inconvenience.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • Home
  • Search Results
  • Page 1 of 2

Search for: All records

Award ID contains: 1956163

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

  1. ; (, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024))
    Free, publicly-accessible full text available October 1, 2025
  2. ; ; ; ; ; ; (, IEEE Robotics and Automation Letters)
    Full Text Available 
  3. ; (, IEEE)
    Full Text Available 
  4. ; ; ; (, IEEE)
    Full Text Available 
  5. ; ; (, IEEE)
    Full Text Available 
  6. ; (, IEEE)
    Full Text Available 
  7. ; ; ; (, Arxiv)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; (, Proceedings IEEE International Conference on Robotics and Automation)
    In this paper, we present a method for creating high-quality 3D models of sorghum panicles for phenotyping in breeding experiments. This is achieved with a novel reconstruc- tion approach that uses seeds as semantic landmarks in both 2D and 3D. To evaluate the performance, we develop a new metric for assessing the quality of reconstructed point clouds without ground-truth. Finally, a counting method is presented where the density of seed centers in the 3D model allows 2D counts from multiple views to be effectively combined into a whole-panicle count. We demonstrate that using this method to estimate seed count and weight for sorghum outperforms count extrapolation from 2D images, an approach used in most state of the art methods for seeds and grains of comparable size. 
    more » « less
  9. ; (, IEEE International Conference on Robotics and Automation (ICRA))
    Full Text Available 
  10. ; ; ; (, International Conference on Robotics and Automation)
    Full Text Available